Intern – IBU Analytics at Lilly

Lilly, a global healthcare leader, is offering an exciting opportunity for aspiring data and analytics professionals to join as an Intern – IBU Analytics in Bengaluru, Karnataka. This internship will provide hands-on experience in business intelligence, data visualization, and analytics within the healthcare domain.

If you’re passionate about data-driven decision-making, business intelligence, and pharmaceutical analytics, this role is designed to help you grow your skills while contributing to life-changing healthcare solutions.

🔑 Key Responsibilities

As an IBU Analytics Intern at Lilly, you will:

• Deliver accurate and timely data reporting and visualization.
• Build expertise in NE Hub datasets for customer-focused insights.
• Ensure data quality via validation, monitoring, and root cause analysis.
• Design and maintain Power BI dashboards for KPIs like sales, growth, market share, and engagement.
• Provide descriptive analytics to support segmentation and performance tracking.
• Contribute to all phases of analytics projects, from kick-off to presentation.
• Meet SLAs and address internal stakeholder queries.

🎓 Qualifications & Experience

Education

• Bachelor’s or Master’s in Finance, Statistics, Econometrics, Engineering, Computer Science, or related field.
• Pharma/healthcare industry experience is an advantage.

Experience

• 1–2 years in data management, BI, market intelligence, reporting, or descriptive analytics.
• Ability to work with complex datasets to generate actionable insights.

Technical Skills

• Advanced SQL (querying, debugging).
• Power BI (dashboard design & development).
• MS Excel (advanced formulas, pivots, lookups) and PowerPoint.
• Coding in Python/R; VBA knowledge is a plus.
• Familiarity with pharma databases is an advantage.

💡 Benefits of Joining Lilly

• Gain exposure to global healthcare analytics.
• Opportunity to work on real-world pharma datasets.
• Enhance technical skills in Power BI, SQL, and Python.
• Collaborate with an experienced BI & Analytics team.
• Valuable internship experience with a leading global pharma company.

📌 How to Apply

Application Link